csch
Hyperbolic cosecant
Syntax
Description
Examples
Hyperbolic Cosecant of Vector
Create a vector and calculate the hyperbolic cosecant of each value.
X = [0 pi 2*pi 3*pi]; Y = csch(X)
Y = 1×4
Inf 0.0866 0.0037 0.0002
Graph of Hyperbolic Cosecant
Plot the hyperbolic cosecant over the domain and
x1 = -pi+0.01:0.01:-0.01;
x2 = 0.01:0.01:pi-0.01;
y1 = csch(x1);
y2 = csch(x2);
plot(x1,y1,x2,y2)
grid on
Input Arguments
X
— Input angles in radians
scalar | vector | matrix | multidimensional array
Input angles in radians, specified as a scalar, vector, matrix, or multidimensional array.
Data Types: single
| double
Complex Number Support: Yes
More About
Hyperbolic Cosecant
The hyperbolic cosecant of x is equal to the inverse of the hyperbolic sine
In terms of the traditional cosecant function with a complex argument, the identity is
Extended Capabilities
Tall Arrays
Calculate with arrays that have more rows than fit in memory.
This function fully supports tall arrays. For more information, see Tall Arrays.
C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.
GPU Code Generation
Generate CUDA® code for NVIDIA® GPUs using GPU Coder™.
Thread-Based Environment
Run code in the background using MATLAB® backgroundPool
or accelerate code with Parallel Computing Toolbox™ ThreadPool
.
This function fully supports thread-based environments. For more information, see Run MATLAB Functions in Thread-Based Environment.
GPU Arrays
Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™.
This function fully supports GPU arrays. For more information, see Run MATLAB Functions on a GPU (Parallel Computing Toolbox).
Distributed Arrays
Partition large arrays across the combined memory of your cluster using Parallel Computing Toolbox™.
This function fully supports distributed arrays. For more information, see Run MATLAB Functions with Distributed Arrays (Parallel Computing Toolbox).
Version History
Introduced before R2006a
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